SOVERE AI
One module. Your own AI.
A sovereign AI data centre, installed in your building. No one outside can read it, train on it, bill it per token or switch it off.
NVIDIA official partner
Most companies rent their AI. The provider holds the key, sets the price, runs the servers and makes the rules. Here is what that means for you, with the evidence.
Two modular data centres, with two or four GPUs. Sized for your workload and installed on your premises.
96 GB per GPU. Up to four isolated partitions per card.
An office. A server cupboard.
A compact starting point for Code, Documents or Knowledge. Two GPUs, with installation planned around your site.
Complete system$159,000Includes software, setup & first-year service
96 GB per GPU. Up to four isolated partitions per card.
Your existing server room.
More capacity for teams and voice workloads. Four GPUs, with installation planned around your site.
Complete system$225,000Includes software, setup & first-year service
Sovere learns from your code, documents and conversations. That knowledge stays on your own hardware, and only your team can use it. That is what sovereign AI means.
Connect your code, documents and recorded conversations. Sovere learns your people, your processes and the decisions behind them.
Sovere links your files to the people, systems and decisions around them. It answers common questions from this map, so the AI does not need to read everything again.
Only your team has the key to start the system. We keep no copy. Sovere saves every question, answer and change in a log your security team can read.
Four models are already built and running. We adapt them to your work, your language and your rules. For a job only you do, we build a new one.
A context manager for your engineers. It indexes your repositories and gives coding agents the right files and conventions for each change.
Answer calls, understand what people need and act in your systems, following your policies and escalation rules.
Read contracts and filings, extract terms and flag unusual clauses. Every finding points back to its source.
Answer staff questions from your tickets, wikis and decision notes. Questions your company has answered before come from its knowledge graph, with sources.
For recurring work unique to your company, we scope a dedicated AI on site and assess whether it is worth building.
Prepared for your work. Installed on your premises. Expand when you need more.
Before delivery
Choose S2 or S4 with a ready-made application, or have us adapt a model to your language and workflow.
Once scope, data and access are agreed.
Your team can use the included models without a new API charge for every prompt.
Sovere S2
2 NVIDIA GPUs · 192 GB
For teams of about 20–150 people
First year · everything included
From$159,000
From year two$120,000a year
Per token$0for every user
Cloud: about $200 per person a month, inside the $150–2,000 Uber pays per engineer. Sovere S2: $159,000, with the first year of service included.
We agree the scope and fix the date before you order. Your team tests the system and approves it in week eight.
The usual path: MIT NANDA, The GenAI Divide, 2025, for large companies. Gartner, May 2024: 8 months from AI prototype to production.
From the space you need to the people who hold the key.
A small, complete data centre that you own and keep in your building. Compute, power, cooling, networking and physical security are integrated. It can work without internet.
Two reasons. You can check where your data goes, because the models, the knowledge and the logs stay in your building. And your bill stops growing with use: included models have no per-token charges.
How the software worksYes. The price of each token keeps falling. But companies use far more AI every year, so the total bill still grows. Company spending on AI grew 3.2 times in 2025, while token prices fell.
See the evidenceReady-made systems come in two sizes: Sovere S2 and Sovere S4, each with published prices. Custom builds are designed around your own site, power and workload. Both run the same software. Custom installations, additional applications and specialist security requirements are quoted to scope.
Ready-made applications can typically be deployed in 1–2 weeks. Custom models can take up to 8 weeks once scope, data and access are agreed. We configure and test the system before delivery, then connect suitable power, your local network and your files at your premises.
No. Managed AI service covers keeping the AI trained, patched and measured, within the scope agreed for your system. Your first 12 months are included; annual renewal starts in year two. Your team uses it; ours looks after it.
Your people grade a set of real business tasks. We measure both models against it before and after adaptation, including the tasks we lose.